Logo Questions Linux Laravel Mysql Ubuntu Git Menu
 

boost implicit graph and astar_search_no_init

I want to implement robot's path planning subsystem. I'm going to use A* from boost library.

I need implicit graph. I have to use astar_search_no_init function (It is written in documentation). Unfortunately, I can't find an example of using astar_search_no_init and implicit graph.

I found "A* Graph Search Within the BGL Framework". The author uses astar_search for implicit graph. He tries to add vertex inside examine_vertex method of visitor. But it is impossible in boost 1.49 because graph is passed as constant reference in this method.

Can anyone help me?

like image 306
dasg Avatar asked Jun 13 '26 15:06

dasg


1 Answers

I have just come up with a working example of an implicit graph. The graph is also infinite. I just posted this to boost-users, but I'll put it here too so it's easy to find.

/**
 * Example use of boost::astar_search_no_init on an infinite, implicitly-defined graph.
 *
 * The graph type used here is XYGraph, representing an infinite grid of squares.  Each
 * square is connected to its eight neighbors; however, the example shows how to use
 * boost::filtered_graph to make the search take place only along orthogonal edges.
 */

#include <iostream>
#include <list>
#include <map>
#include <set>
#include <utility>

#include <boost/graph/graph_traits.hpp>
#include <boost/graph/astar_search.hpp>
#include <boost/graph/filtered_graph.hpp>
#include <boost/operators.hpp>
#include <boost/ref.hpp>

namespace Direction
{
enum id
{
    MIN = 0,
    N = MIN, S, E, W, NW, NE, SE, SW, NONE
};
}

struct XY : public boost::additive<XY,
    boost::totally_ordered<XY,
    boost::equivalent<XY>
    > >
{
    typedef int X;
    typedef int Y;

    XY(X x = 0, Y y = 0);

    // Same square counts.
    bool adjacentTo(XY const& that) const;

    XY & operator=(XY const& that);
    XY & operator+=(XY const& that);

    bool operator<(XY const& that) const;

    X x;
    Y y;

    XY neighbor(Direction::id direction) const;
    std::set<XY> allNeighbors() const;
};

std::ostream & operator<<(std::ostream & os, XY const& xy);

struct neighbor_iterator;

/*
 * Model of:
 *  * Graph
 *  * IncidenceGraph
 */
struct XYGraph
{
    XYGraph();

    // Graph concept requirements
    typedef XY                                vertex_descriptor;
    typedef std::pair<XY, XY>                 edge_descriptor;
    typedef boost::undirected_tag             directed_category;
    typedef boost::disallow_parallel_edge_tag edge_parallel_category;
    typedef boost::incidence_graph_tag        traversal_category;

    // IncidenceGraph concept requirements
    typedef neighbor_iterator          out_edge_iterator;
    typedef int                        degree_size_type;
};

namespace boost
{
    template <> struct graph_traits<XYGraph>
    {
        typedef XYGraph G;

        typedef G::vertex_descriptor      vertex_descriptor;
        typedef G::edge_descriptor        edge_descriptor;
        typedef G::out_edge_iterator      out_edge_iterator;

        typedef G::directed_category      directed_category;
        typedef G::edge_parallel_category edge_parallel_category;
        typedef G::traversal_category     traversal_category;

        typedef G::degree_size_type       degree_size_type;

        typedef void in_edge_iterator;
        typedef void vertex_iterator;
        typedef void vertices_size_type;
        typedef void edge_iterator;
        typedef void edges_size_type;
    };
}

// IncidenceGraph concept requirements
std::pair<XYGraph::out_edge_iterator, 
XYGraph::out_edge_iterator> out_edges(XYGraph::vertex_descriptor v, XYGraph const& g);
XYGraph::degree_size_type out_degree(XYGraph::vertex_descriptor v, XYGraph const& g);
XYGraph::vertex_descriptor source(XYGraph::edge_descriptor e, XYGraph const& g);
XYGraph::vertex_descriptor target(XYGraph::edge_descriptor e, XYGraph const& g);

// Iterator
struct neighbor_iterator : 
    public boost::iterator_facade<neighbor_iterator,
                                  std::pair<XY,XY>,
                                  boost::forward_traversal_tag,
                                  std::pair<XY,XY> >
{
public:
    neighbor_iterator();
    neighbor_iterator(XY xy, Direction::id direction);

    neighbor_iterator & operator=(neighbor_iterator const& that);

    std::pair<XY,XY> operator*() const;
    neighbor_iterator& operator++();
    bool operator==(neighbor_iterator const& that) const;

    bool equal(neighbor_iterator const& that) const { return operator==(that); }
    void increment() { operator++(); }

private:
    XY xy;
    Direction::id direction;
};


// Filter used to traverse grid only along orthogonal (non-diagonal) edges.
struct orthogonal_only
{
    typedef std::pair<XY,XY> Edge;
    bool operator()(Edge const& edge) const
    {
        return edge.first.x == edge.second.x || edge.first.y == edge.second.y;
    }
};

template <typename Graph> class distance_heuristic;

struct found_goal {}; // exception for termination

// visitor that terminates when we find the goal
class astar_goal_visitor : public boost::default_astar_visitor
{
public:
    astar_goal_visitor(XY goal) : m_goal(goal) {}

    void examine_vertex(XY xy, XYGraph const& g) {
        (void)g;
        std::cout << "Exploring " << xy << "..." << std::endl;
        if(xy == m_goal)
            throw found_goal();
    }
    void examine_vertex(XY xy, boost::filtered_graph<XYGraph, orthogonal_only> const& g) {
        (void)g;
        std::cout << "Exploring " << xy << "..." << std::endl;
        if(xy == m_goal)
            throw found_goal();
    }
private:
    XY m_goal;
};

template <typename K, typename V>
class default_map
{
public:
    typedef K key_type;
    typedef V data_type;
    typedef std::pair<K,V> value_type;

    default_map(V const& defaultValue)
        : m()
        , defaultValue(defaultValue)
    {}

    V & operator[](K const& k)
    {
        if (m.find(k) == m.end())
        {
            m[k] = defaultValue;
        }
        return m[k];
    }

private:
    std::map<K,V> m;
    V const defaultValue;
};

struct PredecessorMap
{
    PredecessorMap() : m() {}
    PredecessorMap(PredecessorMap const& that) : m(that.m) {}

    typedef XY key_type;
    typedef XY value_type;
    typedef XY & reference_type;
    typedef boost::read_write_property_map_tag category;

    XY & operator[](XY xy) { return m[xy]; }

    std::map<XY,XY> m;
};

XY get(PredecessorMap const& pm, XY xy)
{
    std::map<XY,XY>::const_iterator found = pm.m.find(xy);
    return (found != pm.m.end()) ? found->second : xy;
}

void put(PredecessorMap & pm, XY key, XY value)
{
    pm.m[key] = value;
}

// Euclidean distance heuristic (square root omitted)
template <typename Graph>
class distance_heuristic : public boost::astar_heuristic<Graph, int>
{
public:
    distance_heuristic(XY goal)
        : m_goal(goal) {}
    unsigned operator()(XY xy)
    {
        int dx = m_goal.x - xy.x;
        int dy = m_goal.y - xy.y;
        unsigned retval = static_cast<unsigned>(dx * dx + dy * dy);
        return retval;
    }
private:
    XY m_goal;
};

int main()
{
    XYGraph baseGraph;
    boost::filtered_graph<XYGraph, orthogonal_only> g(baseGraph, orthogonal_only());
    //BOOST_CONCEPT_ASSERT((IncidenceGraphConcept< boost::filtered_graph<XYGraph, orthogonal_only> >));

    XY start(0,0);
    XY goal(5,7);

    std::cout << "Start vertex: " << start << std::endl;
    std::cout << "Goal vertex: " << goal << std::endl;

    PredecessorMap p;
    typedef boost::associative_property_map< default_map<XY,unsigned> > DistanceMap;
    typedef default_map<XY,unsigned> WrappedDistanceMap;
    WrappedDistanceMap wrappedMap = WrappedDistanceMap(std::numeric_limits<unsigned>::max());
    wrappedMap[start] = 0;
    DistanceMap d = DistanceMap(wrappedMap);
    auto weight_map = default_map<std::pair<XY,XY>,unsigned>(1);
    auto vertex_index_map = std::map<XY,unsigned>();
    auto rank_map = std::map<XY,unsigned>();
    auto color_map = std::map<XY,boost::default_color_type>();

    try {
        astar_search_no_init(g, 
            start,
            distance_heuristic<XYGraph>(goal)
            , visitor(astar_goal_visitor(goal))
            . distance_map(d)
            . predecessor_map(boost::ref(p))
            . weight_map(boost::associative_property_map< default_map<std::pair<XY,XY>,unsigned> >(weight_map))
            . vertex_index_map(boost::associative_property_map< std::map<XY,unsigned> >(vertex_index_map))
            . rank_map(boost::associative_property_map< std::map<XY,unsigned> >(rank_map))
            . color_map(boost::associative_property_map< std::map<XY,boost::default_color_type> >(color_map))
            . distance_compare(std::less<unsigned>())
            . distance_combine(std::plus<unsigned>())
            );
    } catch(found_goal const&) { // found a path to the goal
        std::list<XY> shortest_path;
        for(XY xy = goal;; xy = p[xy]) {
            shortest_path.push_front(xy);
            if(p[xy] == xy)
                break;
        }
        std::cout << "Shortest path from " << start << " to "
            << goal << ": ";
        std::list<XY>::iterator spi = shortest_path.begin();
        std::cout << start;
        for(++spi; spi != shortest_path.end(); ++spi) 
            std::cout << " -> " << (*spi);
        std::cout << std::endl;
        return 0;
    }

    std::cout << "Didn't find a path from " << start << "to"
        << goal << "!" << std::endl;
    return 0;
}

XYGraph::XYGraph()
{}

std::pair<XYGraph::out_edge_iterator, XYGraph::out_edge_iterator> 
out_edges(XYGraph::vertex_descriptor v,
          XYGraph const& g)
{
    (void)g;
    return std::make_pair(
        XYGraph::out_edge_iterator(v, Direction::MIN), 
        XYGraph::out_edge_iterator(v, Direction::NONE) );
}

XYGraph::degree_size_type 
out_degree(XYGraph::vertex_descriptor v,
           XYGraph const& g)
{
    (void)g;
    return v.allNeighbors().size();
}

XYGraph::vertex_descriptor 
source(XYGraph::edge_descriptor e,
       XYGraph const& g)
{
    (void)g;
    return e.first;
}

XYGraph::vertex_descriptor target(
    XYGraph::edge_descriptor e,
    XYGraph const& g)
{
    (void)g;
    return e.second;
}

neighbor_iterator::neighbor_iterator() : xy() , direction() { }

neighbor_iterator::neighbor_iterator(XY xy, Direction::id direction)
: xy(xy)
, direction(direction)
{
}

neighbor_iterator & neighbor_iterator::operator=(neighbor_iterator const& that)
{
    xy = that.xy;
    direction = that.direction;
    return *this;
}

std::pair<XY,XY> neighbor_iterator::operator*() const
{
    std::pair<XY,XY> const retval = std::make_pair(xy, xy.neighbor(direction));
    return retval;
}

neighbor_iterator& neighbor_iterator::operator++()
{
    direction = static_cast<Direction::id>(int(direction) + 1);
    return *this;
}

bool neighbor_iterator::operator==(neighbor_iterator const& that) const
{
    return xy == that.xy && direction == that.direction;
}


XY::XY(X x, Y y)
: x(x)
, y(y)
{
}

bool XY::adjacentTo(XY const& that) const
{
    return abs(x - that.x) <= 1 && abs(y - that.y) <= 1;
}

XY & XY::operator=(XY const& that)
{
    x = that.x;
    y = that.y;
    return *this;
}

XY & XY::operator+=(XY const& that)
{
    x += that.x;
    y += that.y;
    return *this;
}

bool XY::operator<(XY const& that) const
{
    return x < that.x || (x == that.x && y < that.y);
}

std::ostream & operator<<(std::ostream & os, XY const& xy)
{
    os << "(" << xy.x << "," << xy.y << ")";
    return os;
}

XY XY::neighbor(Direction::id direction) const
{
    using namespace Direction;

    int dx = 0, dy = 0;
    switch (direction)
    {
    case NW:
    case W:
    case SW:
        dx = -1;
        break;
    case NE:
    case E:
    case SE:
        dx = 1;
        break;
    default:
        dy = 0;
    }
    switch (direction)
    {
    case NW:
    case N:
    case NE:
        dy = -1;   
        break;
    case SW:
    case S:
    case SE:
        dy = 1;
        break;
    default:
        dy = 0;
    }
    XY const neighbor(x + dx, y + dy);
    return neighbor;
}

std::set<XY> XY::allNeighbors() const
{
    std::set<XY> neighbors;

    for (int dx = -1; dx <= 1; ++dx)
        for (int dy = -1; dy <= 1; ++dy)
            neighbors.insert(XY(x+dx,y+dy));

    return neighbors;
}
like image 168
Snargleplax Avatar answered Jun 16 '26 08:06

Snargleplax



Donate For Us

If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!